G. Franceschinis

4.1k total citations · 1 hit paper
76 papers, 2.0k citations indexed

About

G. Franceschinis is a scholar working on Computational Theory and Mathematics, Hardware and Architecture and Management Information Systems. According to data from OpenAlex, G. Franceschinis has authored 76 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Computational Theory and Mathematics, 19 papers in Hardware and Architecture and 18 papers in Management Information Systems. Recurrent topics in G. Franceschinis's work include Petri Nets in System Modeling (51 papers), Formal Methods in Verification (33 papers) and Business Process Modeling and Analysis (17 papers). G. Franceschinis is often cited by papers focused on Petri Nets in System Modeling (51 papers), Formal Methods in Verification (33 papers) and Business Process Modeling and Analysis (17 papers). G. Franceschinis collaborates with scholars based in Italy, France and United States. G. Franceschinis's co-authors include Susanna Donatelli, Gianfranco Balbo, Marco Ajmone Marsan, G. Conte, G. Chiola, Serge Haddad, Rossano Gaeta, C. Dutheillet, Marco Beccuti and Marina Ribaudo and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Software Engineering and IEEE Transactions on Computers.

In The Last Decade

G. Franceschinis

73 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Modelling with Generalized Stochastic Petri Nets

1998 834 citations Gianfranco Balbo, Susanna Donatelli et al. profile →

Peers

G. Franceschinis

CTM

CNC

MIS

SOFTW

IS

Gianfranco Ciardo United States

Gianfranco Balbo Italy

Kishor S. Trivedi United States

Holger Hermanns Germany

William H. Sanders United States

Jogesh K. Muppala Hong Kong

Christoph Lindemann Germany

Peter H. Feiler United States

Marco Roveri Italy

Gunter Bolch Germany

Gianfranco Ciardo United States

G. Franceschinis

1.1k ×1.0

CTM

795 ×1.2

CNC

523 ×1.0

MIS

353 ×1.0

SOFTW

389 ×1.2

IS

Citations per year, relative to G. Franceschinis G. Franceschinis (= 1×) peers Gianfranco Ciardo

Countries citing papers authored by G. Franceschinis

Since Specialization

Citations

This map shows the geographic impact of G. Franceschinis's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by G. Franceschinis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Franceschinis more than expected).

Fields of papers citing papers by G. Franceschinis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. Franceschinis. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by G. Franceschinis. The network helps show where G. Franceschinis may publish in the future.

Co-authorship network of co-authors of G. Franceschinis

This figure shows the co-authorship network connecting the top 25 collaborators of G. Franceschinis. A scholar is included among the top collaborators of G. Franceschinis based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with G. Franceschinis. G. Franceschinis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

Cerotti, Davide, et al.. (2024). SecuriDN: A Modeling Tool Supporting the Early Detection of Cyberattacks to Smart Energy Systems. Energies. 17(16). 3882–3882.

2.

Amparore, Elvio Gilberto, et al.. (2023). From Compositional Petri Net Modeling to Macro and Micro Simulation by Means of Stochastic Simulation and Agent-Based Models. 9(1). 1–30. 1 indexed citations

3.

Franceschinis, G., et al.. (2014). A tool for symbolic manipulation of arc functions in Symmetric Net models. Institutional Research Information System University of Turin (University of Turin). 1 indexed citations

4.

Beccuti, Marco, G. Franceschinis, Daniele Codetta‐Raiteri, & Serge Haddad. (2013). Computing Optimal Repair Strategies by Means of NdRFT Modeling and Analysis. The Computer Journal. 57(12). 1870–1892. 6 indexed citations

5.

Beccuti, Marco, et al.. (2012). A new symbolic approach for network reliability analysis. 1–12. 2 indexed citations

6.

Beccuti, Marco & G. Franceschinis. (2012). Efficient simulation of stochastic well-formed nets through symmetry exploitation. Winter Simulation Conference. 296. 4 indexed citations

7.

Beccuti, Marco, G. Franceschinis, & Serge Haddad. (2011). MDWNsolver: A Framework to Design and Solve Markov Decision Petri Nets. International Journal of Performability Engineering. 7(5). 417. 2 indexed citations

8.

Balbo, Gianfranco, et al.. (2010). Stochastic Petri Nets Sensitivity to Token Scheduling Policies.. RePEc: Research Papers in Economics. 181–186. 1 indexed citations

9.

Franceschinis, G., Marco Gribaudo, Mauro Iacono, et al.. (2009). Interfaces and Binding in Component Based Development of Formal Models. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 21 indexed citations

10.

Franceschinis, G., et al.. (2007). Ambienti collaborativi come strumenti di ricerca e didattica in medicina dei disastri e d'emergenza: il simulatore e-DISTRICT CiPro. PORTO Publications Open Repository TOrino (Politecnico di Torino). 1 indexed citations

11.

Franceschinis, G., et al.. (2004). RRE: a tool for the extraction of non-coding regions surrounding annotated genes from genomic datasets. Bioinformatics. 20(16). 2848–2850. 8 indexed citations

12.

Capra, Lorenzo, C. Dutheillet, G. Franceschinis, & Jean‐Michel Ilié. (2000). Exploiting Partial Symmetries for Markov Chain Aggregation. Electronic Notes in Theoretical Computer Science. 39(3). 231–257. 10 indexed citations

13.

Chiola, G., C. Dutheillet, G. Franceschinis, & Serge Haddad. (1997). A symbolic reachability graph for coloured petri nets. Theoretical Computer Science. 176(1-2). 39–65. 45 indexed citations

14.

Chiola, G., G. Franceschinis, Rossano Gaeta, & Marina Ribaudo. (1995). GreatSPN 1.7: Graphical editor and analyzer for timed and stochastic Petri nets. Performance Evaluation. 24(1-2). 47–68. 139 indexed citations

15.

Donatelli, Susanna, G. Franceschinis, Marina Ribaudo, & Stefano Russo. (1994). Use of GSPNs for concurrent software validation in EPOCA. Information and Software Technology. 36(7). 443–448. 8 indexed citations

16.

Franceschinis, G. & Richard R. Muntz. (1994). Bounds for quasi-lumpable Markov chains. Performance Evaluation. 20(1-3). 223–243. 36 indexed citations

17.

Franceschinis, G. & Richard R. Muntz. (1994). Computing bounds for the performance indices of quasi-lumpable stochastic well-formed nets. IEEE Transactions on Software Engineering. 20(7). 516–525. 8 indexed citations

18.

Chiola, G., G. Franceschinis, & Rossano Gaeta. (1992). A symbolic simulation mechanism for well-formed coloured Petri nets. Annual Simulation Symposium. 192–201. 10 indexed citations

19.

Chiola, G. & G. Franceschinis. (1991). A condition for behaviour-preserving colour simplification in well-formed coloured nets. 830–833 vol.2. 1 indexed citations

20.

Balbo, Gianfranco, et al.. (1987). On the Efficient Construction of the Tangible Reachability Graph of Generalized Stochastic Petri Nets. 136–145. 32 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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